Robert A. DeMichiei
Executive Vice President and Chief Financial Officer, University of Pittsburgh Medical Center
“The Cost of Healthcare – A Revisionist History”
The healthcare industry has long relied on volume, revenue, and commercial payers to sustain operations and fund our community and academic missions. With a rapidly changing landscape, reducing cost and delivering value to patients and payers is critical to survival. In this session, Rob DeMichiei, executive vice president and chief financial officer, UPMC, will challenge traditional thinking around cost, clinical variation, and how we measure efficiency. Without a reliable way to measure your costs and productivity at a patient and physician level, how can you ever expect to identify opportunities for improvement? Rob will provide an introduction to activity-based costing, how it works, and how it is used by UPMC to drive cost productivity, identify clinical variation, measure service line performance, and link cost and quality.

Just five percent of patients consume close to 50 percent of an average health system’s utilization and costs of care. This means effective population health management programs must have a strong care management focus. Until now, care management teams were forced to use a patchwork of products and fill the gaps with manual work. Teams were spread thin and challenged with an ever-increasing number of patients. At Health Catalyst®, we believe care teams deserve a dynamic end-to-end solution that helps drive the work on improving care while lowering costs—a solution that delivers the right care to the right patient at the right time. Introducing the Care Management Software Suite™, developed in partnership with industry leaders. The suite focuses on the five core competencies of care management: 1. Data Integration, 2. Patient Stratification and Intake, 3. Care Coordination, 4. Patient Engagement, and 5. Performance Measurement. Watch this video for a look at how it all works together and what it means for efficient population health.

Health Catalyst® is on a mission to help health systems save lives by making machine learning routine, actionable, and pervasive through catalyst.ai™ (machine learning models built into every Health Catalyst application), healthcare.ai™ (free, open source machine learning software), and its healthcare analytics platform (the foundation of machine learning)
Visit https://www.healthcatalyst.com/catalyst.ai and https://healthcare.ai to get started.

As Health Catalyst, we love working here. Besides the great benefits, work environment, and opportunities for growth, we're most appreciative of the way our leaders care about us. Watch this fun video to see what it's like to work here.

This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment

Located in Southwest Minnesota is a rural community of 30,000 people served by the New Ulm Medical Center. It is in that location that some of the Nation's biggest lessons are being learned in the delivery of proactive healthcare to serve a population of needs. On a 10-year journey, this community is on a mission to eliminate heart disease. Eight years in, they have seen enviable results across all major clinical and financial indicators.
CREDITS
Directed by: Ethan Vincent & Nathaniel Hansen
Executive Producer: Paul Horstmeier
Produced by: Chris Keller, Nathaniel Hansen, Ethan Vincent
Associate Producer: Kathleen Hietala
Cinematography by: Ethan Vincent & Nathaniel Hansen
Assistant Editor: Parker Kelly
Sound Design and Audio Mix: Dan Carlisle
Music by: Founder
Featuring: Ben Bache-Wiig, Jeff Bertrang, Crystal Fleck, Kristine Fortman, Toby Freier, Dan Holmberg, John Holmquist, Bill Katsiyiannis, Michael Miedema, David Nash, Tom Schmitz, Audra Sheneman, Virginia Suker-Molden, Penny Wheeler
Special Thanks: The City of New Ulm

Located in Southwest Minnesota is a rural community of 30,000 people served by the New Ulm Medical Center. It is in that location that some of the Nation's biggest lessons are being learned in the delivery of proactive healthcare to serve a population of needs. On a 10-year journey, this community is on a mission to eliminate heart disease. Eight years in, they have seen enviable results across all major clinical and financial indicators.
CREDITS
Directed by: Ethan Vincent & Nathaniel Hansen
Executive Producer: Paul Horstmeier
Produced by: Chris Keller, Nathaniel Hansen, Ethan Vincent
Associate Producer: Kathleen Hietala
Cinematography by: Ethan Vincent & Nathaniel Hansen
Assistant Editor: Parker Kelly
Sound Design and Audio Mix: Dan Carlisle
Music by: Founder
Featuring: Ben Bache-Wiig, Jeff Bertrang, Crystal Fleck, Kristine Fortman, Toby Freier, Dan Holmberg, John Holmquist, Bill Katsiyiannis, Michael Miedema, David Nash, Tom Schmitz, Audra Sheneman, Virginia Suker-Molden, Penny Wheeler
Special Thanks: The City of New Ulm

Today’s healthcare delivery model is broken. Practitioners who entered medicine expecting to spend their days working to eliminate human suffering instead find themselves spending a disproportionate amount of time working through the bureaucratic issues of care delivery. Costs continue to increase, quality remains unstable, and health systems desperately seek solutions to overhaul healthcare. A value-based care delivery model, already successfully used by several healthcare organizations, promises to be part of the solution. It’s a transformational approach, requiring difficult short-term decisions in favor of long-term sustainability. And central to this approach is the measurement of patient-reported outcomes, in addition to the traditional process and clinical metrics. The value-based model incorporates what matters most to patients.
In this documentary, a co-author of Redefining Health Care and Harvard strategy professor, Michael E. Porter, PhD, shares the culmination of more than 20 years of work documenting what happens when organizations use the value-based care model. He makes the case that the healthcare industry should concentrate on quality as measured by patients, even suggesting that organizations who cannot deliver high-quality care in certain areas should redirect their resources toward care delivery where they can be the best in the world. Additionally, Marini-Klinik (a world leader in volume and quality of prostatectomies) shares how a surgeon in the group improved care quality using these patient-reported outcomes. Sahlgrenska University Hospital (Gothenburg, Sweden) and Boston Children’s Hospital add to the success stories that the value-based model is bringing to healthcare. The documentary also includes insightful commentary from Stefan Larsson, MD, PhD, Senior Partner and Managing Director at The Boston Consulting Group and Christina Akerman, CEO of the International Consortium for Health Outcomes Measurement.
CREDITS:
A Film By: Nathaniel Hansen & Ethan Vincent
Executive Producer: Paul Horstmeier, Health Catalyst
Produced by: Chris Keller & Caleb Stowell, Nathaniel Hansen
Cinematography by: Ethan Vincent & Nathaniel Hansen
Sound Design and Audio Mix: Alexander Wieser
Music by: Various artists
Featuring: Prof. Markus Graefen, Prof. Hartwig Huland, Dr. Detlef Loppow, Prof. Michael Porter, Dr. Christian Ackerman, Dr. Caleb Stowell, Dr. Stefan Larsson, Dr. John Meara, Dr. Barbro Friden, Dr. Ali Khatami, Joakim Kendall, Dr. Maziar Mohaddes
Total Running Time: 22:00
Format: NTSC 1080p 23.98 Stereo
Premiered at Health Analytics Summit 2015 in Salt Lake City, 09/09/15

Levi Thatcher, PhD, VP of Data Science at Health Catalyst will share practical AI use cases and distill the lessons into a framework you can use when evaluating AI healthcare projects. Specifically, Levi will answer these questions:
What are great healthcare business cases for AI/ML?
What kind of data do you need?
What tools / talent do you need?
How do you integrate AI/ML into the daily workflow?

Bundled Payments analytics tool evaluates cost and variation associated with care delivery for patients, and is intended to prioritize areas of focus and provide a baseline for exploratory analysis. The application is modeled on the Centers for Medicare and Medicaid Services (CMS) Bundled Payment for Care Improvement (BPCI) Initiative.

It’s been over six years since IBM’s Watson amazed all of us on Jeopardy, but it has yet to deliver similar breakthroughs in healthcare. The headlines in last week’s Forbes article read, “MD Anderson Benches IBM Watson In Setback For Artificial Intelligence In Medicine.” Is it really a setback for the entire industry or not? Health Catalyst’s EVP for Product Development, Dale Sanders, believes that the challenges are unique to IBM’s machine learning strategy in healthcare. If they adjust that strategy and better manage expectations about what’s possible for machine learning in medicine, the future will be brighter for Watson, their clients, and AI in healthcare, in general. Watson’s success is good for all of us, but it’s failure is bad for all of us, too.
Join Dale as he discusses:
The good news: Machine learning technology is accelerating at a rate beyond Moore’s Law. Dale believes that machine learning algorithms and models are doubling in capability every six months.
The bad news: The healthcare data ecosystem is not nearly as rich as many would believe, and certainly not as rich as that used to train Watson for Jeopardy. Without high-volume, high-quality data, Watson’s potential and the constant advances in machine learning algorithms will hit a glass ceiling in healthcare.
The best news: By adjusting strategy and expectations, there are still plenty of opportunities to do great things with machine learning by using the current data content in healthcare, while we build out the volume and breadth of data we need to truly understand the patient at the center of the healthcare picture… and you don’t need an army of PhD data scientists to do it.

For many who work on the front lines of delivery system reform, clinical integration is not just a generic phrase to describe health care professionals working more closely together. It describes the enormous day-to-day efforts that allow hospitals and physicians to collaborate on improving quality and efficiency, while keeping the focus on clinical care and the patient.
Join Holly Rimmasch, Executive Vice President and Chief Clinical Officer at Health Catalyst, as she shares this framework and model for greater value care delivery.
Holly will discuss:
The key functions of a clinically integrated system
The key roles and processes critical to sustained improvement methodology
The importance of the organizational structure in supporting systemic improvement
We look forward to you joining us.

Health Catalyst executive leadership shares how the company was formed and focused on helping health systems to improve care and reduce cost by using data warehousing and clinical improvement methodologies.
Visit our website at www.healthcatalyst.com

Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.
During the webinar, we will:
Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.
If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!

The healthcare.ai packages are designed to streamline healthcare machine learning. They do this by including functionality specific to healthcare, as well as simplifying the workflow of creating and deploying models. We believe that machine learning is too helpful and important to be handled solely by full-time data scientists. These packages are a humble attempt at machine learning democratization in a realm that needs it most—healthcare.

ACO MSSP Measures tool supports accountable care organizations (ACO’s) participating in the Medicare Shared Savings Program (MSSP). This tool supports monitoring and managing actual performance against CMS required measures for ACO’s throughout the year. The ability to measure performance and drill into each measure anytime, not only after a required reporting period, provides the ability to identify inefficiencies and opportunities for improvement in a timelier manner.

Join Kenneth Kleinberg, Health IT Strategist, and Eric Just, Senior Vice President, Health Catalyst, as they discuss the What, Why, and How of Machine Learning and AI for healthcare leaders.
Attendees will learn:
Practical steps, timeframes and skills as well as real-time data and moving targets associated with the Implementation of ML and AI
How to deal with challenges inherent in ML and AI implementation
What the future holds for ML and AI

Population Health Analytics is about more than just identifying a group of patients. It involves helping physicians care for their patients as individuals, improving their own practice through evidence-based best practices, and enacting cultural change that results in better outcomes for entire populations. Population Health Analytics—with the capability to look at one patient at a time and one physician at a time—will enable providers and organizations to answer three important questions: 1) What best practices should I be doing with this population? 2) How well am I following these best practices with this population? And 3) How can I change to create better outcomes for this population?
In addition to addressing these population health questions, please join Tom Burton, Co-Founder and Senior Vice President of Product Development, Health Catalyst, as he discusses Population Health Analytics and presents the Three Systems Model of Care Delivery. Tom will share Health Catalyst’s experiences and learning’s and why each system is essential to create long-term change and transform healthcare.
Attendees of the webinar will:
Learn about the Three Systems Model of Care Delivery required for effective Population Health Analytics. Understand the issues that must be addressed at each stage in order to optimize care delivery.
Discover the role analytics play in enabling physicians to deliver better care to their patients leading to improved outcomes for an entire population of the patients.
In the future, healthcare executives with a solid Population Health Analytics system will be better prepared to deliver better outcomes and more efficient care. Both will be key for succeeding with payment models based on risk, value, and performance.

Choosing the right data model for your healthcare enterprise data warehouse (EDW) is one of the most significant decisions made in establishing a data warehousing and foundational analytics strategy for the future. The right data model can significantly speed up your analytics time-to-value and adaptability, or significantly burden your project with disastrous consequences in agility and project delays. In the healthcare industry where the data environment is much more complicated than a sales receipt and the analytic uses cases are constantly changing, the Kimball and Inmon approaches can be challenging in their impact on agility and initial time-to-value. This is why a new Late-Binding™ approach to data warehousing is quickly becoming discussed and viewed as an alternative approach to solving healthcare’s unique data challenges. Join Steve Barlow as he addresses the strengths and weaknesses of each of the following three primary Data Model approaches for data warehousing in healthcare:
Enterprise Data Model
Independent Data Marts
Late-binding Solutions

Thank you very much to our friends at Medicity in Salt Lake for this ALS Ice Bucket Challenge. Watch as our CEO (Dan Burton), President (Brent Dover), and our two Co-Founders (Tom Burton and Steve Barlow) take the ALS Ice Bucket Challenge in front of the entire company during our end of summer celebration. Now we are challenging our friends at Allina Healthcare, Indiana University Health, and Stanford Health Care

In this webinar, Tim and Dale, who worked together at Northwestern Medicine to establish an early-on and leading enterprise data warehouse solution for the hospital, physicians and medical school, will present their unique perspectives creating a thoughtful environment of comparison and contrast. This won’t be a typical corporate dozer—rather it will provide an opportunity for you to think deeply about the novel nature of your organization’s data. Historically, hospital expansion by building a larger footprint was the way to scale and capture market share. While those things still matter, attention has shifted to the expansion of the distribution of care through virtual and physical access points that embody a far more consumer friendly means to deliver care. It is in those entities that enriched data can be used to deliver care outreach that actually makes a difference for patients. That is where the new margins exist.

Please join us for a presentation by two of Health Catalyst’s best technical minds, Vice Presidents Eric Just and Mike Doyle as they share how Health Catalyst’s solutions can be used to address these complex issues. Different than most of our webinars, Eric and Mike will cover important basics including who Health Catalyst is, what we provide and how we deliver products. Some specific items they will cover are the following: •The industry challenges that warranted the creation of Health Catalyst.
•The use of Health Catalyst’s data analysis tools and applications that enable organizations to quickly uncover care improvement and cost reduction opportunities.
•Implementation best practices that Health Catalyst organizes into Achievement Levels, including how they are delivered, installed, and typical implementation schedules. Attendees will understand who in your organization needs to be involved and the secrets to success and pitfalls to avoid.

Health Catalyst has partnered with industry-leading health systems to develop a next-generation costing system: the CORUS™ Suite. For the first time, CFOs, physicians, service line leaders, and clinical and financial analysts can dig deep into the true cost of providing care across the continuum and relate those costs to patient outcomes.
The CORUS (Clinical Operations Resource Utilization System) Suite offers integration of patient-level EHR data, departmental and equipment resource-utilization data, delivering the first comprehensive view of the true cost of patient care. The suite uses manufacturing-style activity-based costing with automated and robust data quality and cost validation algorithms that are scalable and maintainable, freeing analysts to focus on identifying variation and cost-saving opportunities. CORUS has embedded costing knowledge including best practices, rules, and algorithms from world-renowned academic healthcare institutions that will accelerate cost management transformation. Additionally, the suite provides dramatically more timely and actionable cost data based on healthcare’s most advanced analytics platform, supporting over 160 source systems including EHR, claims, General Ledger, payroll, supply chain, and patient satisfaction systems.

Health Catalyst provides healthcare data warehousing solutions that actually work by accelerating care improvement for all types of healthcare systems. Learn more at www.healthcatalyst.com or call 1-800-465-7869.

As population health management goes mainstream, providers need robust, integrated software solutions to aggregate and analyze data, coordinate care, engage patients and clinicians, and provide full administrative and financial functionality. Population Health Management is a journey, and the number of approaches to population health are varied.
Join Bradley Hunter, Research Director over Population Health at KLAS as he addresses these key questions:
How are providers looking to tackle population health?
What are the challenges facing providers today?
Which vendors are meeting the needs or are poised the meet the needs of providers in the future?

Please join us as two of Health Catalyst’s best, Vice President Jared Crapo and Senior Solutions Consultant Sriraman Rajamani, cover important basics including who Health Catalyst is, what we provide and how we deliver our products. Jared and Sri provide an easy-to-understand discussion regarding the key analytic principles of adaptive data architecture. Some specific items they cover are:
The industry challenges that warranted the creation of Health Catalyst.
The use of Health Catalyst’s data analysis tools and applications that enable organizations to quickly uncover care improvement and cost reduction opportunities.
Implementation best practices that Health Catalyst organizes into Achievement Levels, including how they are delivered, installed, and typical implementation schedules.
Attendees understand who in your organization needs to be involved and the secrets to success and pitfalls to avoid.
The discussion includes the key analytic principles of an adaptive data architecture including data aggregation, normalization, security, and governance. Jared and Sri also address the basic requirements for implementation of the measurement platform of a data warehouse, such as team creation, roles, and reporting. Finally, they demonstrate several of the key tools necessary to move the analytics strategy forward including a improvement prioritization application, applications used to organize patient populations, others used to monitor and measure care results and still others that are specific to advanced areas of care.

The President of New Ulm Medical Center discusses how to shift from a system that thrives off revenue generated on sick people being in hospitals to one that's dedicated to preventing illness throughout its community.

Care Coordination is a mobile, tablet based application, used at the point of care by care coordinators and team members to organize patient interventions including shared decision making for patient goals & activities, patient and team communications, as well as alerts and notifications for new admissions or decreasing patient engagement activity.

Leading Wisely is a new generation executive decision support system with personalized watch-lists, configurable visualizations and customizable alerts and notifications; giving you the data and foresight to deal with every-day and unexpected challenges.

13,500,000 GRAM Plan to sell.
Telegram Open Network.
Multi-blockchain Proof-of-Stake system.
About Telegram Open Network.
Instant Hypercube Routing TON blockchains use smart routing mechanisms to ensure that transactions between any two blockchains will always be processed swiftly, regardless of the size of the system. The time needed to pass information between TON blockchains grows logarithmically with their number, so scaling to even millions of chains will allow them all to communicate at top speed.
TON Services TON Services provides a platform for third-party services of any kind that enables smartphone-like friendly interfaces for decentralized apps and smart contracts, as well as a World Wide Web-like decentralized browsing experience.
TON DNS TON DNS is a service for assigning human-readable names to accounts, smart contracts, services, and network nodes. With TON DNS, accessing decentralized services can be similar to viewing a website on the World Wide Web.

TON Payments TON Payments is a platform for micropayments and a micropayment channel network. It can be used for instant off-chain value transfers between users, bots, and other services. Safeguards built into the system ensure that these transfers are as secure as on-chain transactions.
The Telegram Team will rely on its 10-year experience in building user-friendly interfaces for tens of millions to create light wallets, exchanges, and identification services that will allow users to get on board with cryptocurrencies in an intuitive way.
Please, pay your attention that Cointelegraph is not responsible for the information on this ICO as there was no official statement so far. There is no official site either.
Telegram recently announced it would launch an ICO for its blockchain platform.
TON aims to deliver a fast, scalable blockchain with support for decentralised applications, distributed file storage, and micropayments.
TON blockchain.